Breetzke, J., & Bohndick, C. (2024). Expectancy-value interactions and dropout intentions in higher education: Can study values compensate for low expectancies? *Motivation and Emotion.* https://doi.org/10.1007/s11031-024-10088-9 Below, you can find the anonymised survey data (as both a .txt and .xlsx file) and the analyses associated with the manuscript. To investigate our research questions, we used a two-step estimation procedure for latent moderated structural equations. As a first step, we estimated a structural model without the latent interaction term. In this model, expectancies and values were used to jointly predict dropout intention (Model 1). As a second step, we estimated a structural model with the latent interaction terms using the LMS approach to correct for measurement error in the predictor variables. In this model, expectancies, values and the expectancy-value interactions predicted dropout intention (Model 2). Both models were separately computed for each of the six dimensions of subjective study values. The MPlus inputs for Model 1 and Model 2 can be found below. Additional analyses (e.g., demographics, correlation-matrix) are conducted in R and can be found in the associated r-skript.